Overview

Dataset statistics

Number of variables83
Number of observations54
Missing cells2097
Missing cells (%)46.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.5 KiB
Average record size in memory673.4 B

Variable types

Unsupported24
Text38
Categorical20
Numeric1

Dataset

Description2019년 강원도개발공사 수의계약 목록으로 용역, 물품, 공사 등으로 구성되어 있습니다.
Author강원도개발공사
URLhttps://www.data.go.kr/data/15068324/fileData.do

Alerts

Unnamed: 2 has constant value ""Constant
공고번호 has constant value ""Constant
Unnamed: 15 has constant value ""Constant
단가계약의경우 has constant value ""Constant
Unnamed: 55 has constant value ""Constant
Unnamed: 56 has constant value ""Constant
Unnamed: 57 has constant value ""Constant
Unnamed: 58 has constant value ""Constant
Unnamed: 59 has constant value ""Constant
Unnamed: 60 has constant value ""Constant
업체제품정보.1 has constant value ""Constant
Unnamed: 62 has constant value ""Constant
Unnamed: 63 has constant value ""Constant
Unnamed: 64 has constant value ""Constant
하자담보 has constant value ""Constant
Unnamed: 67 has constant value ""Constant
Unnamed: 68 has constant value ""Constant
Unnamed: 70 has constant value ""Constant
Unnamed: 71 has constant value ""Constant
Unnamed: 72 has constant value ""Constant
Unnamed: 73 has constant value ""Constant
Unnamed: 74 has constant value ""Constant
Unnamed: 75 has constant value ""Constant
Unnamed: 76 has constant value ""Constant
Unnamed: 6 is highly imbalanced (86.7%)Imbalance
계약방법 is highly imbalanced (86.7%)Imbalance
Unnamed: 10 is highly imbalanced (86.7%)Imbalance
신규여부 is highly imbalanced (86.7%)Imbalance
계약보증 착수일 is highly imbalanced (86.7%)Imbalance
업체제품정보 is highly imbalanced (80.1%)Imbalance
Unnamed: 51 is highly imbalanced (67.7%)Imbalance
나라장터공고번호 has 52 (96.3%) missing valuesMissing
Unnamed: 2 has 53 (98.1%) missing valuesMissing
공고번호 has 53 (98.1%) missing valuesMissing
Unnamed: 15 has 53 (98.1%) missing valuesMissing
단가계약의경우 has 53 (98.1%) missing valuesMissing
변경계약금액 has 54 (100.0%) missing valuesMissing
낙찰률 has 42 (77.8%) missing valuesMissing
Unnamed: 22 has 7 (13.0%) missing valuesMissing
준공일 has 52 (96.3%) missing valuesMissing
Unnamed: 40 has 52 (96.3%) missing valuesMissing
Unnamed: 41 has 52 (96.3%) missing valuesMissing
준공금액 has 52 (96.3%) missing valuesMissing
Unnamed: 52 has 52 (96.3%) missing valuesMissing
Unnamed: 53 has 51 (94.4%) missing valuesMissing
구성원 업체기본정보 has 50 (92.6%) missing valuesMissing
Unnamed: 55 has 53 (98.1%) missing valuesMissing
Unnamed: 56 has 53 (98.1%) missing valuesMissing
Unnamed: 57 has 53 (98.1%) missing valuesMissing
Unnamed: 58 has 53 (98.1%) missing valuesMissing
Unnamed: 59 has 53 (98.1%) missing valuesMissing
Unnamed: 60 has 53 (98.1%) missing valuesMissing
업체제품정보.1 has 53 (98.1%) missing valuesMissing
Unnamed: 62 has 53 (98.1%) missing valuesMissing
Unnamed: 63 has 53 (98.1%) missing valuesMissing
Unnamed: 64 has 53 (98.1%) missing valuesMissing
하자담보 has 53 (98.1%) missing valuesMissing
Unnamed: 67 has 53 (98.1%) missing valuesMissing
Unnamed: 68 has 53 (98.1%) missing valuesMissing
Unnamed: 70 has 53 (98.1%) missing valuesMissing
Unnamed: 71 has 53 (98.1%) missing valuesMissing
Unnamed: 72 has 53 (98.1%) missing valuesMissing
Unnamed: 73 has 53 (98.1%) missing valuesMissing
Unnamed: 74 has 53 (98.1%) missing valuesMissing
Unnamed: 75 has 53 (98.1%) missing valuesMissing
Unnamed: 76 has 53 (98.1%) missing valuesMissing
Unnamed: 77 has 54 (100.0%) missing valuesMissing
Unnamed: 78 has 54 (100.0%) missing valuesMissing
Unnamed: 79 has 54 (100.0%) missing valuesMissing
Unnamed: 80 has 54 (100.0%) missing valuesMissing
Unnamed: 81 has 54 (100.0%) missing valuesMissing
Unnamed: 82 has 39 (72.2%) missing valuesMissing
계약명 has unique valuesUnique
나라장터계약번호 has unique valuesUnique
순번 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기초금액 is an unsupported type, check if it needs cleaning or further analysisUnsupported
예정가격 is an unsupported type, check if it needs cleaning or further analysisUnsupported
계약금액 is an unsupported type, check if it needs cleaning or further analysisUnsupported
변경계약금액 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 29 is an unsupported type, check if it needs cleaning or further analysisUnsupported
계약(변경)일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 31 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 32 is an unsupported type, check if it needs cleaning or further analysisUnsupported
착수일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 34 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 35 is an unsupported type, check if it needs cleaning or further analysisUnsupported
준공기한 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 37 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 38 is an unsupported type, check if it needs cleaning or further analysisUnsupported
준공일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 40 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 41 is an unsupported type, check if it needs cleaning or further analysisUnsupported
준공금액 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 77 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 78 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 79 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 80 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 81 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 19:32:21.661542
Analysis finished2023-12-12 19:32:23.497776
Duration1.84 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size564.0 B

나라장터공고번호
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing52
Missing (%)96.3%
Memory size564.0 B
2023-12-13T04:32:23.601675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9
Min length4

Characters and Unicode

Total characters18
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row최초공고
2nd row20190231555-00
ValueCountFrequency (%)
최초공고 1
50.0%
20190231555-00 1
50.0%
2023-12-13T04:32:24.016803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4
22.2%
5 3
16.7%
2 2
11.1%
1 2
11.1%
최 1
 
5.6%
초 1
 
5.6%
공 1
 
5.6%
고 1
 
5.6%
9 1
 
5.6%
3 1
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13
72.2%
Other Letter 4
 
22.2%
Dash Punctuation 1
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4
30.8%
5 3
23.1%
2 2
15.4%
1 2
15.4%
9 1
 
7.7%
3 1
 
7.7%
Other Letter
ValueCountFrequency (%)
최 1
25.0%
초 1
25.0%
공 1
25.0%
고 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14
77.8%
Hangul 4
 
22.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4
28.6%
5 3
21.4%
2 2
14.3%
1 2
14.3%
9 1
 
7.1%
3 1
 
7.1%
- 1
 
7.1%
Hangul
ValueCountFrequency (%)
최 1
25.0%
초 1
25.0%
공 1
25.0%
고 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14
77.8%
Hangul 4
 
22.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4
28.6%
5 3
21.4%
2 2
14.3%
1 2
14.3%
9 1
 
7.1%
3 1
 
7.1%
- 1
 
7.1%
Hangul
ValueCountFrequency (%)
최 1
25.0%
초 1
25.0%
공 1
25.0%
고 1
25.0%

Unnamed: 2
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2023-12-13T04:32:24.177186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row재공고
ValueCountFrequency (%)
재공고 1
100.0%
2023-12-13T04:32:24.530510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
재 1
33.3%
공 1
33.3%
고 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
재 1
33.3%
공 1
33.3%
고 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
재 1
33.3%
공 1
33.3%
고 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
재 1
33.3%
공 1
33.3%
고 1
33.3%

공고번호
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2023-12-13T04:32:24.716995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row공고번호
ValueCountFrequency (%)
공고번호 1
100.0%
2023-12-13T04:32:25.046506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 1
25.0%
고 1
25.0%
번 1
25.0%
호 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 1
25.0%
고 1
25.0%
번 1
25.0%
호 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 1
25.0%
고 1
25.0%
번 1
25.0%
호 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 1
25.0%
고 1
25.0%
번 1
25.0%
호 1
25.0%

계약체결문서번호
Text

Distinct52
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-13T04:32:25.407184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length14.388889
Min length8

Characters and Unicode

Total characters777
Distinct characters24
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)94.4%

Sample

1st row계약체결문서번호
2nd row재무관리팀-2018-3675
3rd row재무관리팀-2018-3654
4th row재무관리팀-2019-71
5th row재무관리팀-2019-141
ValueCountFrequency (%)
재무관리팀-2019-1128 3
 
5.6%
계약체결문서번호 1
 
1.9%
재무관리팀-2019-1342 1
 
1.9%
재무관리팀-2018-3675 1
 
1.9%
재무관리팀-2019-777 1
 
1.9%
재무관리팀-2019-1154 1
 
1.9%
재무관리팀-2019-1217 1
 
1.9%
재무관리팀-2019-1210 1
 
1.9%
재무관리팀-2019-1247 1
 
1.9%
재무관리팀-2019-734 1
 
1.9%
Other values (42) 42
77.8%
2023-12-13T04:32:26.026371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 106
13.6%
1 97
12.5%
2 71
9.1%
0 64
8.2%
9 59
7.6%
재 53
6.8%
무 53
6.8%
관 53
6.8%
리 53
6.8%
팀 53
6.8%
Other values (14) 115
14.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 398
51.2%
Other Letter 273
35.1%
Dash Punctuation 106
 
13.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
재 53
19.4%
무 53
19.4%
관 53
19.4%
리 53
19.4%
팀 53
19.4%
체 1
 
0.4%
결 1
 
0.4%
문 1
 
0.4%
서 1
 
0.4%
번 1
 
0.4%
Other values (3) 3
 
1.1%
Decimal Number
ValueCountFrequency (%)
1 97
24.4%
2 71
17.8%
0 64
16.1%
9 59
14.8%
4 24
 
6.0%
3 23
 
5.8%
7 17
 
4.3%
8 15
 
3.8%
6 15
 
3.8%
5 13
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 504
64.9%
Hangul 273
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
재 53
19.4%
무 53
19.4%
관 53
19.4%
리 53
19.4%
팀 53
19.4%
체 1
 
0.4%
결 1
 
0.4%
문 1
 
0.4%
서 1
 
0.4%
번 1
 
0.4%
Other values (3) 3
 
1.1%
Common
ValueCountFrequency (%)
- 106
21.0%
1 97
19.2%
2 71
14.1%
0 64
12.7%
9 59
11.7%
4 24
 
4.8%
3 23
 
4.6%
7 17
 
3.4%
8 15
 
3.0%
6 15
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 504
64.9%
Hangul 273
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 106
21.0%
1 97
19.2%
2 71
14.1%
0 64
12.7%
9 59
11.7%
4 24
 
4.8%
3 23
 
4.6%
7 17
 
3.4%
8 15
 
3.0%
6 15
 
3.0%
Hangul
ValueCountFrequency (%)
재 53
19.4%
무 53
19.4%
관 53
19.4%
리 53
19.4%
팀 53
19.4%
체 1
 
0.4%
결 1
 
0.4%
문 1
 
0.4%
서 1
 
0.4%
번 1
 
0.4%
Other values (3) 3
 
1.1%

구분
Categorical

Distinct4
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
용역
32 
물품
16 
공사
5 
구분1
 
1

Length

Max length3
Median length2
Mean length2.0185185
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row구분1
2nd row용역
3rd row용역
4th row물품
5th row용역

Common Values

ValueCountFrequency (%)
용역 32
59.3%
물품 16
29.6%
공사 5
 
9.3%
구분1 1
 
1.9%

Length

2023-12-13T04:32:26.240148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:32:26.379753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용역 32
59.3%
물품 16
29.6%
공사 5
 
9.3%
구분1 1
 
1.9%

Unnamed: 6
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
일반
53 
구분2
 
1

Length

Max length3
Median length2
Mean length2.0185185
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row구분2
2nd row일반
3rd row일반
4th row일반
5th row일반

Common Values

ValueCountFrequency (%)
일반 53
98.1%
구분2 1
 
1.9%

Length

2023-12-13T04:32:26.551788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:32:26.690579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 53
98.1%
구분2 1
 
1.9%

계약명
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-13T04:32:27.035273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length32
Mean length27.314815
Min length3

Characters and Unicode

Total characters1475
Distinct characters214
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st row계약명
2nd row기록물정리 및 분류체계 구축용역
3rd row강원도개발공사 환경미화 용역
4th row정선군 행복주택 건립사업 관급자재(소방펌프) 조달구매
5th row영월군 공공실버주택 건립사업 무동력승강식피닌기 설계용역
ValueCountFrequency (%)
건립사업 21
 
8.4%
영월군 13
 
5.2%
물품구매 12
 
4.8%
공공임대주택 8
 
3.2%
새뜰마을 7
 
2.8%
행복주택 6
 
2.4%
및 6
 
2.4%
알펜시아 5
 
2.0%
대행용역 5
 
2.0%
설계용역 5
 
2.0%
Other values (131) 163
64.9%
2023-12-13T04:32:27.611817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
202
 
13.7%
사 45
 
3.1%
공 40
 
2.7%
원 34
 
2.3%
구 32
 
2.2%
역 32
 
2.2%
용 32
 
2.2%
주 31
 
2.1%
자 30
 
2.0%
건 28
 
1.9%
Other values (204) 969
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1214
82.3%
Space Separator 202
 
13.7%
Close Punctuation 22
 
1.5%
Open Punctuation 22
 
1.5%
Decimal Number 9
 
0.6%
Uppercase Letter 4
 
0.3%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 45
 
3.7%
공 40
 
3.3%
원 34
 
2.8%
구 32
 
2.6%
역 32
 
2.6%
용 32
 
2.6%
주 31
 
2.6%
자 30
 
2.5%
건 28
 
2.3%
업 28
 
2.3%
Other values (192) 882
72.7%
Decimal Number
ValueCountFrequency (%)
2 3
33.3%
1 2
22.2%
0 2
22.2%
9 2
22.2%
Uppercase Letter
ValueCountFrequency (%)
E 1
25.0%
B 1
25.0%
F 1
25.0%
V 1
25.0%
Space Separator
ValueCountFrequency (%)
202
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1214
82.3%
Common 257
 
17.4%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 45
 
3.7%
공 40
 
3.3%
원 34
 
2.8%
구 32
 
2.6%
역 32
 
2.6%
용 32
 
2.6%
주 31
 
2.6%
자 30
 
2.5%
건 28
 
2.3%
업 28
 
2.3%
Other values (192) 882
72.7%
Common
ValueCountFrequency (%)
202
78.6%
) 22
 
8.6%
( 22
 
8.6%
2 3
 
1.2%
, 2
 
0.8%
1 2
 
0.8%
0 2
 
0.8%
9 2
 
0.8%
Latin
ValueCountFrequency (%)
E 1
25.0%
B 1
25.0%
F 1
25.0%
V 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1214
82.3%
ASCII 261
 
17.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
202
77.4%
) 22
 
8.4%
( 22
 
8.4%
2 3
 
1.1%
, 2
 
0.8%
1 2
 
0.8%
0 2
 
0.8%
9 2
 
0.8%
E 1
 
0.4%
B 1
 
0.4%
Other values (2) 2
 
0.8%
Hangul
ValueCountFrequency (%)
사 45
 
3.7%
공 40
 
3.3%
원 34
 
2.8%
구 32
 
2.6%
역 32
 
2.6%
용 32
 
2.6%
주 31
 
2.6%
자 30
 
2.5%
건 28
 
2.3%
업 28
 
2.3%
Other values (192) 882
72.7%

계약방법
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
수의
53 
입찰여부
 
1

Length

Max length4
Median length2
Mean length2.037037
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row입찰여부
2nd row수의
3rd row수의
4th row수의
5th row수의

Common Values

ValueCountFrequency (%)
수의 53
98.1%
입찰여부 1
 
1.9%

Length

2023-12-13T04:32:27.794950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:32:27.929552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수의 53
98.1%
입찰여부 1
 
1.9%

Unnamed: 9
Categorical

Distinct16
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
소액수의계약(2천만원 미만의 계약체결)
36 
지방계약법시행령 제25조 1항 6-나
 
3
지방계약법 시행령 제25조 제1항 7-2-나
 
2
계약사유
 
1
지방계약법 시행령 제25조 제1항 마
 
1
Other values (11)
11 

Length

Max length24
Median length21
Mean length20.703704
Min length4

Unique

Unique13 ?
Unique (%)24.1%

Sample

1st row계약사유
2nd row소액수의계약(2천만원 미만의 계약체결)
3rd row지방계약법 시행령 제25조 제1항 마
4th row소액수의계약(2천만원 미만의 계약체결)
5th row소액수의계약(2천만원 미만의 계약체결)

Common Values

ValueCountFrequency (%)
소액수의계약(2천만원 미만의 계약체결) 36
66.7%
지방계약법시행령 제25조 1항 6-나 3
 
5.6%
지방계약법 시행령 제25조 제1항 7-2-나 2
 
3.7%
계약사유 1
 
1.9%
지방계약법 시행령 제25조 제1항 마 1
 
1.9%
지방계약법시행령 제25조 1항5-마, 5-다 1
 
1.9%
지방계약법시행령 제25조 1항5-마 1
 
1.9%
지방계약법시행령 제25조-1항-5-마 1
 
1.9%
지방계약법시행령 제25조 1항 4-사 1
 
1.9%
지방계약법시행령 제25조-1-5-마 1
 
1.9%
Other values (6) 6
 
11.1%

Length

2023-12-13T04:32:28.074622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
소액수의계약(2천만원 36
20.2%
계약체결 36
20.2%
미만의 36
20.2%
제25조 14
 
7.9%
지방계약법시행령 10
 
5.6%
지방계약법 7
 
3.9%
제1항 7
 
3.9%
시행령 7
 
3.9%
1항 5
 
2.8%
6-나 4
 
2.2%
Other values (12) 16
9.0%

Unnamed: 10
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
총액
53 
총액여부
 
1

Length

Max length4
Median length2
Mean length2.037037
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row총액여부
2nd row총액
3rd row총액
4th row총액
5th row총액

Common Values

ValueCountFrequency (%)
총액 53
98.1%
총액여부 1
 
1.9%

Length

2023-12-13T04:32:28.264224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:32:28.427951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
총액 53
98.1%
총액여부 1
 
1.9%

신규여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
신규
53 
<NA>
 
1

Length

Max length4
Median length2
Mean length2.037037
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row<NA>
2nd row신규
3rd row신규
4th row신규
5th row신규

Common Values

ValueCountFrequency (%)
신규 53
98.1%
<NA> 1
 
1.9%

Length

2023-12-13T04:32:28.578201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:32:28.705549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신규 53
98.1%
na 1
 
1.9%

기초금액
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size564.0 B

예정가격
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size564.0 B

공동도급계약금액
Text

Distinct52
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-13T04:32:28.939745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.8703704
Min length3

Characters and Unicode

Total characters371
Distinct characters119
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)92.6%

Sample

1st row대표자
2nd row문서지기㈜
3rd row㈜늘푸른환경
4th row㈜대영파워펌프
5th row㈜바탕건축사사무소
ValueCountFrequency (%)
㈜현민종합건설 2
 
3.6%
법무법인(유한)대륙아주 2
 
3.6%
㈜나비환경설비컨설턴트 1
 
1.8%
주)sc이엔지 1
 
1.8%
대표자 1
 
1.8%
금정공업 1
 
1.8%
㈜나라기술단 1
 
1.8%
㈜대안엔지니어링 1
 
1.8%
㈜무영종합건축사사무소 1
 
1.8%
㈜성창 1
 
1.8%
Other values (44) 44
78.6%
2023-12-13T04:32:29.390334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 32
 
8.6%
사 15
 
4.0%
이 13
 
3.5%
무 11
 
3.0%
지 10
 
2.7%
인 9
 
2.4%
대 9
 
2.4%
법 8
 
2.2%
건 8
 
2.2%
경 8
 
2.2%
Other values (109) 248
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 322
86.8%
Other Symbol 32
 
8.6%
Close Punctuation 5
 
1.3%
Open Punctuation 5
 
1.3%
Uppercase Letter 5
 
1.3%
Space Separator 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 15
 
4.7%
이 13
 
4.0%
무 11
 
3.4%
지 10
 
3.1%
인 9
 
2.8%
대 9
 
2.8%
법 8
 
2.5%
건 8
 
2.5%
경 8
 
2.5%
소 7
 
2.2%
Other values (101) 224
69.6%
Uppercase Letter
ValueCountFrequency (%)
S 2
40.0%
T 1
20.0%
C 1
20.0%
H 1
20.0%
Other Symbol
ValueCountFrequency (%)
㈜ 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 354
95.4%
Common 12
 
3.2%
Latin 5
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 32
 
9.0%
사 15
 
4.2%
이 13
 
3.7%
무 11
 
3.1%
지 10
 
2.8%
인 9
 
2.5%
대 9
 
2.5%
법 8
 
2.3%
건 8
 
2.3%
경 8
 
2.3%
Other values (102) 231
65.3%
Latin
ValueCountFrequency (%)
S 2
40.0%
T 1
20.0%
C 1
20.0%
H 1
20.0%
Common
ValueCountFrequency (%)
) 5
41.7%
( 5
41.7%
2
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 322
86.8%
None 32
 
8.6%
ASCII 17
 
4.6%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 32
100.0%
Hangul
ValueCountFrequency (%)
사 15
 
4.7%
이 13
 
4.0%
무 11
 
3.4%
지 10
 
3.1%
인 9
 
2.8%
대 9
 
2.8%
법 8
 
2.5%
건 8
 
2.5%
경 8
 
2.5%
소 7
 
2.2%
Other values (101) 224
69.6%
ASCII
ValueCountFrequency (%)
) 5
29.4%
( 5
29.4%
2
 
11.8%
S 2
 
11.8%
T 1
 
5.9%
C 1
 
5.9%
H 1
 
5.9%

Unnamed: 15
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2023-12-13T04:32:29.562184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row구성원1
ValueCountFrequency (%)
구성원1 1
100.0%
2023-12-13T04:32:29.891652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 1
25.0%
성 1
25.0%
원 1
25.0%
1 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
75.0%
Decimal Number 1
 
25.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1
33.3%
성 1
33.3%
원 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
75.0%
Common 1
 
25.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1
33.3%
성 1
33.3%
원 1
33.3%
Common
ValueCountFrequency (%)
1 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
75.0%
ASCII 1
 
25.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 1
33.3%
성 1
33.3%
원 1
33.3%
ASCII
ValueCountFrequency (%)
1 1
100.0%

계약금액
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size564.0 B

단가계약의경우
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2023-12-13T04:32:30.083365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters7
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row총구매예정금액
ValueCountFrequency (%)
총구매예정금액 1
100.0%
2023-12-13T04:32:30.422220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
총 1
14.3%
구 1
14.3%
매 1
14.3%
예 1
14.3%
정 1
14.3%
금 1
14.3%
액 1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
총 1
14.3%
구 1
14.3%
매 1
14.3%
예 1
14.3%
정 1
14.3%
금 1
14.3%
액 1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
총 1
14.3%
구 1
14.3%
매 1
14.3%
예 1
14.3%
정 1
14.3%
금 1
14.3%
액 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
총 1
14.3%
구 1
14.3%
매 1
14.3%
예 1
14.3%
정 1
14.3%
금 1
14.3%
액 1
14.3%

변경계약금액
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

낙찰률
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)83.3%
Missing42
Missing (%)77.8%
Infinite0
Infinite (%)0.0%
Mean0.8959725
Minimum0.6775
Maximum0.985
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T04:32:30.651105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.6775
5-th percentile0.7879785
Q10.87975
median0.894
Q30.9444
95-th percentile0.9806
Maximum0.985
Range0.3075
Interquartile range (IQR)0.06465

Descriptive statistics

Standard deviation0.078949453
Coefficient of variation (CV)0.088115934
Kurtosis5.6832995
Mean0.8959725
Median Absolute Deviation (MAD)0.019815
Skewness-1.9887824
Sum10.75167
Variance0.0062330162
MonotonicityNot monotonic
2023-12-13T04:32:30.801520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.88 2
 
3.7%
0.9444 2
 
3.7%
0.985 1
 
1.9%
0.87837 1
 
1.9%
0.879 1
 
1.9%
0.977 1
 
1.9%
0.899 1
 
1.9%
0.918 1
 
1.9%
0.6775 1
 
1.9%
0.889 1
 
1.9%
(Missing) 42
77.8%
ValueCountFrequency (%)
0.6775 1
1.9%
0.87837 1
1.9%
0.879 1
1.9%
0.88 2
3.7%
0.889 1
1.9%
0.899 1
1.9%
0.918 1
1.9%
0.9444 2
3.7%
0.977 1
1.9%
0.985 1
1.9%
ValueCountFrequency (%)
0.985 1
1.9%
0.977 1
1.9%
0.9444 2
3.7%
0.918 1
1.9%
0.899 1
1.9%
0.889 1
1.9%
0.88 2
3.7%
0.879 1
1.9%
0.87837 1
1.9%
0.6775 1
1.9%

나라장터계약번호
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-13T04:32:31.070654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length13.62963
Min length8

Characters and Unicode

Total characters736
Distinct characters26
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st row(납품요구번호)
2nd row20181215E0B-00
3rd row20181214097-00
4th row2019010343F-00
5th row2019010751E-00
ValueCountFrequency (%)
납품요구번호 1
 
1.8%
20190501f7f-00 1
 
1.8%
2019051372c-00 1
 
1.8%
2019040aa54-00 1
 
1.8%
2019040aa56-00 1
 
1.8%
2019040b9bc-00 1
 
1.8%
2019040aa8d-00 1
 
1.8%
20190411025-00 1
 
1.8%
2019040fe9b-00 1
 
1.8%
201904137e2-00 1
 
1.8%
Other values (45) 45
81.8%
2023-12-13T04:32:31.540162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 254
34.5%
1 91
 
12.4%
2 73
 
9.9%
9 60
 
8.2%
- 53
 
7.2%
4 34
 
4.6%
5 28
 
3.8%
3 21
 
2.9%
E 16
 
2.2%
A 15
 
2.0%
Other values (16) 91
 
12.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 601
81.7%
Uppercase Letter 73
 
9.9%
Dash Punctuation 53
 
7.2%
Other Letter 6
 
0.8%
Close Punctuation 1
 
0.1%
Space Separator 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 254
42.3%
1 91
 
15.1%
2 73
 
12.1%
9 60
 
10.0%
4 34
 
5.7%
5 28
 
4.7%
3 21
 
3.5%
7 15
 
2.5%
6 13
 
2.2%
8 12
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
E 16
21.9%
A 15
20.5%
F 15
20.5%
B 10
13.7%
D 9
12.3%
C 8
11.0%
Other Letter
ValueCountFrequency (%)
납 1
16.7%
호 1
16.7%
번 1
16.7%
구 1
16.7%
요 1
16.7%
품 1
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 657
89.3%
Latin 73
 
9.9%
Hangul 6
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 254
38.7%
1 91
 
13.9%
2 73
 
11.1%
9 60
 
9.1%
- 53
 
8.1%
4 34
 
5.2%
5 28
 
4.3%
3 21
 
3.2%
7 15
 
2.3%
6 13
 
2.0%
Other values (4) 15
 
2.3%
Latin
ValueCountFrequency (%)
E 16
21.9%
A 15
20.5%
F 15
20.5%
B 10
13.7%
D 9
12.3%
C 8
11.0%
Hangul
ValueCountFrequency (%)
납 1
16.7%
호 1
16.7%
번 1
16.7%
구 1
16.7%
요 1
16.7%
품 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 730
99.2%
Hangul 6
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 254
34.8%
1 91
 
12.5%
2 73
 
10.0%
9 60
 
8.2%
- 53
 
7.3%
4 34
 
4.7%
5 28
 
3.8%
3 21
 
2.9%
E 16
 
2.2%
A 15
 
2.1%
Other values (10) 85
 
11.6%
Hangul
ValueCountFrequency (%)
납 1
16.7%
호 1
16.7%
번 1
16.7%
구 1
16.7%
요 1
16.7%
품 1
16.7%

계약보증
Categorical

Distinct12
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size564.0 B
서울보증보험㈜
30 
계약보증금지급각서대체
7 
엔지니어링공제조합
4 
전문건설공제조합
 
3
전기공사공제조합
 
2
Other values (7)
8 

Length

Max length14
Median length7
Mean length8.0555556
Min length4

Unique

Unique6 ?
Unique (%)11.1%

Sample

1st row보증기관
2nd row특수법인 소프트웨어공제조합
3rd row서울보증보험㈜
4th row서울보증보험㈜
5th row엔지니어링공제조합

Common Values

ValueCountFrequency (%)
서울보증보험㈜ 30
55.6%
계약보증금지급각서대체 7
 
13.0%
엔지니어링공제조합 4
 
7.4%
전문건설공제조합 3
 
5.6%
전기공사공제조합 2
 
3.7%
한국전기기술인협회 2
 
3.7%
보증기관 1
 
1.9%
특수법인 소프트웨어공제조합 1
 
1.9%
서울보증보험(주0 1
 
1.9%
한국건설자원공제조합 1
 
1.9%
Other values (2) 2
 
3.7%

Length

2023-12-13T04:32:31.741884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울보증보험㈜ 30
54.5%
계약보증금지급각서대체 7
 
12.7%
엔지니어링공제조합 4
 
7.3%
전문건설공제조합 3
 
5.5%
전기공사공제조합 2
 
3.6%
한국전기기술인협회 2
 
3.6%
보증기관 1
 
1.8%
특수법인 1
 
1.8%
소프트웨어공제조합 1
 
1.8%
서울보증보험(주0 1
 
1.8%
Other values (3) 3
 
5.5%

Unnamed: 22
Text

MISSING 

Distinct47
Distinct (%)100.0%
Missing7
Missing (%)13.0%
Memory size564.0 B
2023-12-13T04:32:31.983245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length26.744681
Min length4

Characters and Unicode

Total characters1257
Distinct characters17
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st row증권번호
2nd row00500215001900000035 00
3rd row004002100000201900002096 00
4th row004002100000201900202438 00
5th row00700220190100021009940000 00
ValueCountFrequency (%)
00 40
41.2%
15 2
 
2.1%
증권번호 1
 
1.0%
004002100000201901921271 1
 
1.0%
003473 1
 
1.0%
0 1
 
1.0%
20190402 1
 
1.0%
004002100000201901962598 1
 
1.0%
0070022019040002101280000000 1
 
1.0%
00700220190400021012760000-00 1
 
1.0%
Other values (47) 47
48.5%
2023-12-13T04:32:32.437310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 631
50.2%
1 150
 
11.9%
2 135
 
10.7%
9 89
 
7.1%
4 58
 
4.6%
50
 
4.0%
5 29
 
2.3%
3 28
 
2.2%
7 27
 
2.1%
6 26
 
2.1%
Other values (7) 34
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1196
95.1%
Space Separator 50
 
4.0%
Dash Punctuation 5
 
0.4%
Other Letter 5
 
0.4%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 631
52.8%
1 150
 
12.5%
2 135
 
11.3%
9 89
 
7.4%
4 58
 
4.8%
5 29
 
2.4%
3 28
 
2.3%
7 27
 
2.3%
6 26
 
2.2%
8 23
 
1.9%
Other Letter
ValueCountFrequency (%)
호 2
40.0%
증 1
20.0%
권 1
20.0%
번 1
20.0%
Space Separator
ValueCountFrequency (%)
50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1251
99.5%
Hangul 5
 
0.4%
Latin 1
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 631
50.4%
1 150
 
12.0%
2 135
 
10.8%
9 89
 
7.1%
4 58
 
4.6%
50
 
4.0%
5 29
 
2.3%
3 28
 
2.2%
7 27
 
2.2%
6 26
 
2.1%
Other values (2) 28
 
2.2%
Hangul
ValueCountFrequency (%)
호 2
40.0%
증 1
20.0%
권 1
20.0%
번 1
20.0%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1252
99.6%
Hangul 5
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 631
50.4%
1 150
 
12.0%
2 135
 
10.8%
9 89
 
7.1%
4 58
 
4.6%
50
 
4.0%
5 29
 
2.3%
3 28
 
2.2%
7 27
 
2.2%
6 26
 
2.1%
Other values (3) 29
 
2.3%
Hangul
ValueCountFrequency (%)
호 2
40.0%
증 1
20.0%
권 1
20.0%
번 1
20.0%

계약보증 착수일
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
2019
53 
년
 
1

Length

Max length4
Median length4
Mean length3.9444444
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row년
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2019 53
98.1%
년 1
 
1.9%

Length

2023-12-13T04:32:32.647268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:32:32.782739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 53
98.1%
년 1
 
1.9%

Unnamed: 24
Categorical

Distinct7
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
5
16 
4
14 
1
9 
2
8 
3
5 
Other values (2)
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)3.7%

Sample

1st row월
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
5 16
29.6%
4 14
25.9%
1 9
16.7%
2 8
14.8%
3 5
 
9.3%
월 1
 
1.9%
6 1
 
1.9%

Length

2023-12-13T04:32:32.912098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:32:33.040912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 16
29.6%
4 14
25.9%
1 9
16.7%
2 8
14.8%
3 5
 
9.3%
월 1
 
1.9%
6 1
 
1.9%

Unnamed: 25
Categorical

Distinct26
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
7
5 
14
4 
16
4 
1
 
3
8
 
3
Other values (21)
35 

Length

Max length2
Median length2
Mean length1.6851852
Min length1

Unique

Unique9 ?
Unique (%)16.7%

Sample

1st row일
2nd row2
3rd row2
4th row14
5th row21

Common Values

ValueCountFrequency (%)
7 5
 
9.3%
14 4
 
7.4%
16 4
 
7.4%
1 3
 
5.6%
8 3
 
5.6%
22 3
 
5.6%
30 3
 
5.6%
12 2
 
3.7%
21 2
 
3.7%
18 2
 
3.7%
Other values (16) 23
42.6%

Length

2023-12-13T04:32:33.204898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
7 5
 
9.3%
16 4
 
7.4%
14 4
 
7.4%
1 3
 
5.6%
8 3
 
5.6%
22 3
 
5.6%
30 3
 
5.6%
11 2
 
3.7%
23 2
 
3.7%
3 2
 
3.7%
Other values (16) 23
42.6%

계약보증 종료일
Categorical

Distinct3
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
2019
37 
2020
16 
년
 
1

Length

Max length4
Median length4
Mean length3.9444444
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row년
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2019 37
68.5%
2020 16
29.6%
년 1
 
1.9%

Length

2023-12-13T04:32:33.347496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:32:33.482734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 37
68.5%
2020 16
29.6%
년 1
 
1.9%

Unnamed: 27
Categorical

Distinct13
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
6
15 
8
8 
2
6 
12
5 
4
5 
Other values (8)
15 

Length

Max length2
Median length1
Mean length1.1666667
Min length1

Unique

Unique4 ?
Unique (%)7.4%

Sample

1st row월
2nd row2
3rd row12
4th row6
5th row2

Common Values

ValueCountFrequency (%)
6 15
27.8%
8 8
14.8%
2 6
 
11.1%
12 5
 
9.3%
4 5
 
9.3%
9 4
 
7.4%
5 3
 
5.6%
1 2
 
3.7%
10 2
 
3.7%
월 1
 
1.9%
Other values (3) 3
 
5.6%

Length

2023-12-13T04:32:33.615119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
6 15
27.8%
8 8
14.8%
2 6
 
11.1%
12 5
 
9.3%
4 5
 
9.3%
9 4
 
7.4%
5 3
 
5.6%
1 2
 
3.7%
10 2
 
3.7%
월 1
 
1.9%
Other values (3) 3
 
5.6%

Unnamed: 28
Categorical

Distinct20
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
31
7 
30
7 
15
6 
12
5 
11
4 
Other values (15)
25 

Length

Max length2
Median length2
Mean length1.8703704
Min length1

Unique

Unique8 ?
Unique (%)14.8%

Sample

1st row일
2nd row15
3rd row31
4th row9
5th row19

Common Values

ValueCountFrequency (%)
31 7
13.0%
30 7
13.0%
15 6
11.1%
12 5
9.3%
11 4
 
7.4%
25 3
 
5.6%
29 3
 
5.6%
18 3
 
5.6%
20 2
 
3.7%
7 2
 
3.7%
Other values (10) 12
22.2%

Length

2023-12-13T04:32:33.782655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
31 7
13.0%
30 7
13.0%
15 6
11.1%
12 5
9.3%
11 4
 
7.4%
25 3
 
5.6%
29 3
 
5.6%
18 3
 
5.6%
21 2
 
3.7%
28 2
 
3.7%
Other values (10) 12
22.2%

Unnamed: 29
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size564.0 B

계약(변경)일자
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size564.0 B

Unnamed: 31
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size564.0 B

Unnamed: 32
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size564.0 B

착수일자
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size564.0 B

Unnamed: 34
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size564.0 B

Unnamed: 35
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size564.0 B

준공기한
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size564.0 B

Unnamed: 37
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size564.0 B

Unnamed: 38
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size564.0 B

준공일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)96.3%
Memory size564.0 B

Unnamed: 40
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)96.3%
Memory size564.0 B

Unnamed: 41
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)96.3%
Memory size564.0 B

준공금액
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)96.3%
Memory size564.0 B

대표사 업체기본정보
Text

Distinct52
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-13T04:32:34.094988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.7962963
Min length3

Characters and Unicode

Total characters367
Distinct characters121
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)92.6%

Sample

1st row업체명
2nd row문서지기㈜
3rd row㈜늘푸른환경
4th row㈜대영파워펌프
5th row㈜바탕건축사사무소
ValueCountFrequency (%)
㈜대영파워펌프 2
 
3.6%
법무법인(유한)대륙아주 2
 
3.6%
㈜나비환경설비컨설턴트 1
 
1.8%
㈜sc이엔지 1
 
1.8%
업체명 1
 
1.8%
㈜우주환경산업 1
 
1.8%
㈜대안엔지니어링 1
 
1.8%
㈜무영종합건축사사무소 1
 
1.8%
㈜성창 1
 
1.8%
sth구조엔지니어링 1
 
1.8%
Other values (44) 44
78.6%
2023-12-13T04:32:34.866157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 34
 
9.3%
사 15
 
4.1%
이 13
 
3.5%
무 11
 
3.0%
지 10
 
2.7%
인 9
 
2.5%
법 8
 
2.2%
대 8
 
2.2%
경 8
 
2.2%
건 8
 
2.2%
Other values (111) 243
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 320
87.2%
Other Symbol 34
 
9.3%
Uppercase Letter 5
 
1.4%
Open Punctuation 3
 
0.8%
Close Punctuation 3
 
0.8%
Space Separator 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 15
 
4.7%
이 13
 
4.1%
무 11
 
3.4%
지 10
 
3.1%
인 9
 
2.8%
법 8
 
2.5%
대 8
 
2.5%
경 8
 
2.5%
건 8
 
2.5%
소 7
 
2.2%
Other values (103) 223
69.7%
Uppercase Letter
ValueCountFrequency (%)
S 2
40.0%
C 1
20.0%
T 1
20.0%
H 1
20.0%
Other Symbol
ValueCountFrequency (%)
㈜ 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 354
96.5%
Common 8
 
2.2%
Latin 5
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 34
 
9.6%
사 15
 
4.2%
이 13
 
3.7%
무 11
 
3.1%
지 10
 
2.8%
인 9
 
2.5%
법 8
 
2.3%
대 8
 
2.3%
경 8
 
2.3%
건 8
 
2.3%
Other values (104) 230
65.0%
Latin
ValueCountFrequency (%)
S 2
40.0%
C 1
20.0%
T 1
20.0%
H 1
20.0%
Common
ValueCountFrequency (%)
( 3
37.5%
) 3
37.5%
2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 320
87.2%
None 34
 
9.3%
ASCII 13
 
3.5%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 34
100.0%
Hangul
ValueCountFrequency (%)
사 15
 
4.7%
이 13
 
4.1%
무 11
 
3.4%
지 10
 
3.1%
인 9
 
2.8%
법 8
 
2.5%
대 8
 
2.5%
경 8
 
2.5%
건 8
 
2.5%
소 7
 
2.2%
Other values (103) 223
69.7%
ASCII
ValueCountFrequency (%)
( 3
23.1%
) 3
23.1%
2
15.4%
S 2
15.4%
C 1
 
7.7%
T 1
 
7.7%
H 1
 
7.7%

Unnamed: 44
Text

Distinct51
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-13T04:32:35.199929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters162
Distinct characters80
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)88.9%

Sample

1st row대표자
2nd row김경희
3rd row이형민
4th row송경희
5th row윤동진
ValueCountFrequency (%)
송경희 2
 
3.7%
김진기 2
 
3.7%
이규철 2
 
3.7%
김영일 1
 
1.9%
김한도 1
 
1.9%
안경준 1
 
1.9%
대표자 1
 
1.9%
이준호 1
 
1.9%
박종한 1
 
1.9%
박건규 1
 
1.9%
Other values (41) 41
75.9%
2023-12-13T04:32:35.686764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 12
 
7.4%
이 8
 
4.9%
희 6
 
3.7%
영 5
 
3.1%
경 5
 
3.1%
진 5
 
3.1%
정 5
 
3.1%
기 4
 
2.5%
현 4
 
2.5%
종 4
 
2.5%
Other values (70) 104
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 162
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 12
 
7.4%
이 8
 
4.9%
희 6
 
3.7%
영 5
 
3.1%
경 5
 
3.1%
진 5
 
3.1%
정 5
 
3.1%
기 4
 
2.5%
현 4
 
2.5%
종 4
 
2.5%
Other values (70) 104
64.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 162
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 12
 
7.4%
이 8
 
4.9%
희 6
 
3.7%
영 5
 
3.1%
경 5
 
3.1%
진 5
 
3.1%
정 5
 
3.1%
기 4
 
2.5%
현 4
 
2.5%
종 4
 
2.5%
Other values (70) 104
64.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 162
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 12
 
7.4%
이 8
 
4.9%
희 6
 
3.7%
영 5
 
3.1%
경 5
 
3.1%
진 5
 
3.1%
정 5
 
3.1%
기 4
 
2.5%
현 4
 
2.5%
종 4
 
2.5%
Other values (70) 104
64.2%

Unnamed: 45
Text

Distinct50
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-13T04:32:36.030365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.907407
Min length7

Characters and Unicode

Total characters643
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)85.2%

Sample

1st row사업자등록번호
2nd row126-86-22275
3rd row221-81-40006
4th row136-81-15816
5th row215-87-87916
ValueCountFrequency (%)
136-81-15816 2
 
3.7%
627-81-00987 2
 
3.7%
221-81-25607 2
 
3.7%
214-86-03459 2
 
3.7%
772-71-00236 1
 
1.9%
211-88-64316 1
 
1.9%
사업자등록번호 1
 
1.9%
221-81-35880 1
 
1.9%
211-81-98909 1
 
1.9%
174-88-00764 1
 
1.9%
Other values (40) 40
74.1%
2023-12-13T04:32:36.506244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 106
16.5%
1 99
15.4%
2 97
15.1%
8 74
11.5%
0 60
9.3%
6 43
6.7%
4 38
 
5.9%
3 37
 
5.8%
7 35
 
5.4%
9 25
 
3.9%
Other values (8) 29
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 530
82.4%
Dash Punctuation 106
 
16.5%
Other Letter 7
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 99
18.7%
2 97
18.3%
8 74
14.0%
0 60
11.3%
6 43
8.1%
4 38
 
7.2%
3 37
 
7.0%
7 35
 
6.6%
9 25
 
4.7%
5 22
 
4.2%
Other Letter
ValueCountFrequency (%)
사 1
14.3%
업 1
14.3%
자 1
14.3%
등 1
14.3%
록 1
14.3%
번 1
14.3%
호 1
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 636
98.9%
Hangul 7
 
1.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 106
16.7%
1 99
15.6%
2 97
15.3%
8 74
11.6%
0 60
9.4%
6 43
6.8%
4 38
 
6.0%
3 37
 
5.8%
7 35
 
5.5%
9 25
 
3.9%
Hangul
ValueCountFrequency (%)
사 1
14.3%
업 1
14.3%
자 1
14.3%
등 1
14.3%
록 1
14.3%
번 1
14.3%
호 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 636
98.9%
Hangul 7
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 106
16.7%
1 99
15.6%
2 97
15.3%
8 74
11.6%
0 60
9.4%
6 43
6.8%
4 38
 
6.0%
3 37
 
5.8%
7 35
 
5.5%
9 25
 
3.9%
Hangul
ValueCountFrequency (%)
사 1
14.3%
업 1
14.3%
자 1
14.3%
등 1
14.3%
록 1
14.3%
번 1
14.3%
호 1
14.3%

Unnamed: 46
Categorical

Distinct6
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
강원
26 
서울
14 
경기
10 
인천
 
2
시·도
 
1

Length

Max length5
Median length2
Mean length2.0740741
Min length2

Unique

Unique2 ?
Unique (%)3.7%

Sample

1st row시·도
2nd row경기
3rd row강원
4th row경기
5th row서울

Common Values

ValueCountFrequency (%)
강원 26
48.1%
서울 14
25.9%
경기 10
 
18.5%
인천 2
 
3.7%
시·도 1
 
1.9%
대구광역시 1
 
1.9%

Length

2023-12-13T04:32:36.713440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:32:36.870652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원 26
48.1%
서울 14
25.9%
경기 10
 
18.5%
인천 2
 
3.7%
시·도 1
 
1.9%
대구광역시 1
 
1.9%

Unnamed: 47
Categorical

Distinct23
Distinct (%)42.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
춘천시
11 
강남구
9 
원주시
6 
송파구
3 
강릉시
 
2
Other values (18)
23 

Length

Max length5
Median length3
Mean length3.0555556
Min length2

Unique

Unique13 ?
Unique (%)24.1%

Sample

1st row시·군·구
2nd row이천
3rd row춘천시
4th row화성시
5th row송파구

Common Values

ValueCountFrequency (%)
춘천시 11
20.4%
강남구 9
16.7%
원주시 6
11.1%
송파구 3
 
5.6%
강릉시 2
 
3.7%
화성시 2
 
3.7%
안양시 2
 
3.7%
태백시 2
 
3.7%
고양시 2
 
3.7%
부평구 2
 
3.7%
Other values (13) 13
24.1%

Length

2023-12-13T04:32:37.036150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
춘천시 11
20.4%
강남구 9
16.7%
원주시 6
11.1%
송파구 3
 
5.6%
강릉시 2
 
3.7%
화성시 2
 
3.7%
안양시 2
 
3.7%
태백시 2
 
3.7%
고양시 2
 
3.7%
부평구 2
 
3.7%
Other values (13) 13
24.1%

Unnamed: 48
Text

Distinct53
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-13T04:32:37.415745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length12.185185
Min length5

Characters and Unicode

Total characters658
Distinct characters122
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)96.3%

Sample

1st row나머지주소
2nd row마장면 덕평로 920-0
3rd row후석로 462번길 15-0
4th row마도면 마도로 421-13
5th row법원로 114, B동 1108호
ValueCountFrequency (%)
동면 3
 
2.1%
테헤란로 3
 
2.1%
퇴계공단1길 3
 
2.1%
마도로 2
 
1.4%
동안구 2
 
1.4%
38 2
 
1.4%
마도면 2
 
1.4%
421-13 2
 
1.4%
두류동 1
 
0.7%
가동 1
 
0.7%
Other values (119) 119
85.0%
2023-12-13T04:32:38.023927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
87
 
13.2%
1 54
 
8.2%
로 36
 
5.5%
길 31
 
4.7%
- 30
 
4.6%
0 29
 
4.4%
4 27
 
4.1%
2 26
 
4.0%
동 20
 
3.0%
3 18
 
2.7%
Other values (112) 300
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 300
45.6%
Decimal Number 229
34.8%
Space Separator 87
 
13.2%
Dash Punctuation 30
 
4.6%
Other Punctuation 8
 
1.2%
Uppercase Letter 2
 
0.3%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 36
 
12.0%
길 31
 
10.3%
동 20
 
6.7%
면 12
 
4.0%
번 9
 
3.0%
공 7
 
2.3%
호 6
 
2.0%
퇴 5
 
1.7%
구 5
 
1.7%
마 5
 
1.7%
Other values (94) 164
54.7%
Decimal Number
ValueCountFrequency (%)
1 54
23.6%
0 29
12.7%
4 27
11.8%
2 26
11.4%
3 18
 
7.9%
7 17
 
7.4%
6 17
 
7.4%
5 16
 
7.0%
8 13
 
5.7%
9 12
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 7
87.5%
/ 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 356
54.1%
Hangul 300
45.6%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 36
 
12.0%
길 31
 
10.3%
동 20
 
6.7%
면 12
 
4.0%
번 9
 
3.0%
공 7
 
2.3%
호 6
 
2.0%
퇴 5
 
1.7%
구 5
 
1.7%
마 5
 
1.7%
Other values (94) 164
54.7%
Common
ValueCountFrequency (%)
87
24.4%
1 54
15.2%
- 30
 
8.4%
0 29
 
8.1%
4 27
 
7.6%
2 26
 
7.3%
3 18
 
5.1%
7 17
 
4.8%
6 17
 
4.8%
5 16
 
4.5%
Other values (6) 35
9.8%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 358
54.4%
Hangul 300
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
87
24.3%
1 54
15.1%
- 30
 
8.4%
0 29
 
8.1%
4 27
 
7.5%
2 26
 
7.3%
3 18
 
5.0%
7 17
 
4.7%
6 17
 
4.7%
5 16
 
4.5%
Other values (8) 37
10.3%
Hangul
ValueCountFrequency (%)
로 36
 
12.0%
길 31
 
10.3%
동 20
 
6.7%
면 12
 
4.0%
번 9
 
3.0%
공 7
 
2.3%
호 6
 
2.0%
퇴 5
 
1.7%
구 5
 
1.7%
마 5
 
1.7%
Other values (94) 164
54.7%

업체제품정보
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
O
51 
중소기업
 
1
중견기업
 
1
<NA>
 
1

Length

Max length4
Median length1
Mean length1.1666667
Min length1

Unique

Unique3 ?
Unique (%)5.6%

Sample

1st row중소기업
2nd rowO
3rd rowO
4th rowO
5th rowO

Common Values

ValueCountFrequency (%)
O 51
94.4%
중소기업 1
 
1.9%
중견기업 1
 
1.9%
<NA> 1
 
1.9%

Length

2023-12-13T04:32:38.226019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:32:38.381543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 51
94.4%
중소기업 1
 
1.9%
중견기업 1
 
1.9%
na 1
 
1.9%

Unnamed: 50
Categorical

Distinct3
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
42 
O
11 
여성기업
 
1

Length

Max length4
Median length4
Mean length3.3888889
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row여성기업
2nd rowO
3rd row<NA>
4th rowO
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
77.8%
O 11
 
20.4%
여성기업 1
 
1.9%

Length

2023-12-13T04:32:38.538213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:32:38.674955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
77.8%
o 11
 
20.4%
여성기업 1
 
1.9%

Unnamed: 51
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
49 
O
 
4
장애인기업
 
1

Length

Max length5
Median length4
Mean length3.7962963
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row장애인기업
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 49
90.7%
O 4
 
7.4%
장애인기업 1
 
1.9%

Length

2023-12-13T04:32:38.868825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:32:39.037768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
90.7%
o 4
 
7.4%
장애인기업 1
 
1.9%

Unnamed: 52
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing52
Missing (%)96.3%
Memory size564.0 B
2023-12-13T04:32:39.192825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2.5
Mean length2.5
Min length1

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row녹색제품
2nd rowO
ValueCountFrequency (%)
녹색제품 1
50.0%
o 1
50.0%
2023-12-13T04:32:39.550742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
녹 1
20.0%
색 1
20.0%
제 1
20.0%
품 1
20.0%
O 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
80.0%
Uppercase Letter 1
 
20.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
녹 1
25.0%
색 1
25.0%
제 1
25.0%
품 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
O 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
80.0%
Latin 1
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
녹 1
25.0%
색 1
25.0%
제 1
25.0%
품 1
25.0%
Latin
ValueCountFrequency (%)
O 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
80.0%
ASCII 1
 
20.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
녹 1
25.0%
색 1
25.0%
제 1
25.0%
품 1
25.0%
ASCII
ValueCountFrequency (%)
O 1
100.0%

Unnamed: 53
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing51
Missing (%)94.4%
Memory size564.0 B
2023-12-13T04:32:39.740370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length1
Mean length2.6666667
Min length1

Characters and Unicode

Total characters8
Distinct characters7
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row기술개발제품
2nd rowO
3rd rowO
ValueCountFrequency (%)
o 2
66.7%
기술개발제품 1
33.3%
2023-12-13T04:32:40.081078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 2
25.0%
기 1
12.5%
술 1
12.5%
개 1
12.5%
발 1
12.5%
제 1
12.5%
품 1
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
75.0%
Uppercase Letter 2
 
25.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
16.7%
술 1
16.7%
개 1
16.7%
발 1
16.7%
제 1
16.7%
품 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
O 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
75.0%
Latin 2
 
25.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
16.7%
술 1
16.7%
개 1
16.7%
발 1
16.7%
제 1
16.7%
품 1
16.7%
Latin
ValueCountFrequency (%)
O 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
75.0%
ASCII 2
 
25.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 2
100.0%
Hangul
ValueCountFrequency (%)
기 1
16.7%
술 1
16.7%
개 1
16.7%
발 1
16.7%
제 1
16.7%
품 1
16.7%

구성원 업체기본정보
Text

MISSING 

Distinct2
Distinct (%)50.0%
Missing50
Missing (%)92.6%
Memory size564.0 B
2023-12-13T04:32:40.226195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length1
Mean length1.5
Min length1

Characters and Unicode

Total characters6
Distinct characters4
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)25.0%

Sample

1st row업체명
2nd rowO
3rd rowO
4th rowO
ValueCountFrequency (%)
o 3
75.0%
업체명 1
 
25.0%
2023-12-13T04:32:40.564069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 3
50.0%
업 1
 
16.7%
체 1
 
16.7%
명 1
 
16.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 3
50.0%
Other Letter 3
50.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 1
33.3%
체 1
33.3%
명 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
O 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3
50.0%
Hangul 3
50.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 1
33.3%
체 1
33.3%
명 1
33.3%
Latin
ValueCountFrequency (%)
O 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3
50.0%
Hangul 3
50.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 3
100.0%
Hangul
ValueCountFrequency (%)
업 1
33.3%
체 1
33.3%
명 1
33.3%

Unnamed: 55
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2023-12-13T04:32:40.719611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row대표자
ValueCountFrequency (%)
대표자 1
100.0%
2023-12-13T04:32:41.028818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 1
33.3%
표 1
33.3%
자 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 1
33.3%
표 1
33.3%
자 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 1
33.3%
표 1
33.3%
자 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 1
33.3%
표 1
33.3%
자 1
33.3%

Unnamed: 56
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2023-12-13T04:32:41.196808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters7
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row사업자등록번호
ValueCountFrequency (%)
사업자등록번호 1
100.0%
2023-12-13T04:32:41.556000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 1
14.3%
업 1
14.3%
자 1
14.3%
등 1
14.3%
록 1
14.3%
번 1
14.3%
호 1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1
14.3%
업 1
14.3%
자 1
14.3%
등 1
14.3%
록 1
14.3%
번 1
14.3%
호 1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1
14.3%
업 1
14.3%
자 1
14.3%
등 1
14.3%
록 1
14.3%
번 1
14.3%
호 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 1
14.3%
업 1
14.3%
자 1
14.3%
등 1
14.3%
록 1
14.3%
번 1
14.3%
호 1
14.3%

Unnamed: 57
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2023-12-13T04:32:41.688794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row시·도
ValueCountFrequency (%)
시·도 1
100.0%
2023-12-13T04:32:41.992327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 1
33.3%
· 1
33.3%
도 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
66.7%
Other Punctuation 1
33.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1
50.0%
도 1
50.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
66.7%
Common 1
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1
50.0%
도 1
50.0%
Common
ValueCountFrequency (%)
· 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
66.7%
None 1
33.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 1
50.0%
도 1
50.0%
None
ValueCountFrequency (%)
· 1
100.0%

Unnamed: 58
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2023-12-13T04:32:42.157195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters4
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row시·군·구
ValueCountFrequency (%)
시·군·구 1
100.0%
2023-12-13T04:32:42.509817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
· 2
40.0%
시 1
20.0%
군 1
20.0%
구 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
60.0%
Other Punctuation 2
40.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1
33.3%
군 1
33.3%
구 1
33.3%
Other Punctuation
ValueCountFrequency (%)
· 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
60.0%
Common 2
40.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1
33.3%
군 1
33.3%
구 1
33.3%
Common
ValueCountFrequency (%)
· 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
60.0%
None 2
40.0%

Most frequent character per block

None
ValueCountFrequency (%)
· 2
100.0%
Hangul
ValueCountFrequency (%)
시 1
33.3%
군 1
33.3%
구 1
33.3%

Unnamed: 59
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2023-12-13T04:32:42.678715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row나머지주소
ValueCountFrequency (%)
나머지주소 1
100.0%
2023-12-13T04:32:43.023328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
나 1
20.0%
머 1
20.0%
지 1
20.0%
주 1
20.0%
소 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
나 1
20.0%
머 1
20.0%
지 1
20.0%
주 1
20.0%
소 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
나 1
20.0%
머 1
20.0%
지 1
20.0%
주 1
20.0%
소 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
나 1
20.0%
머 1
20.0%
지 1
20.0%
주 1
20.0%
소 1
20.0%

Unnamed: 60
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2023-12-13T04:32:43.188834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row전화번호
ValueCountFrequency (%)
전화번호 1
100.0%
2023-12-13T04:32:43.511262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%

업체제품정보.1
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2023-12-13T04:32:43.689753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row중소기업
ValueCountFrequency (%)
중소기업 1
100.0%
2023-12-13T04:32:43.999537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
중 1
25.0%
소 1
25.0%
기 1
25.0%
업 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 1
25.0%
소 1
25.0%
기 1
25.0%
업 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 1
25.0%
소 1
25.0%
기 1
25.0%
업 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
중 1
25.0%
소 1
25.0%
기 1
25.0%
업 1
25.0%

Unnamed: 62
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2023-12-13T04:32:44.168169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row여성기업
ValueCountFrequency (%)
여성기업 1
100.0%
2023-12-13T04:32:44.498546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
여 1
25.0%
성 1
25.0%
기 1
25.0%
업 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
여 1
25.0%
성 1
25.0%
기 1
25.0%
업 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
여 1
25.0%
성 1
25.0%
기 1
25.0%
업 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
여 1
25.0%
성 1
25.0%
기 1
25.0%
업 1
25.0%

Unnamed: 63
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2023-12-13T04:32:44.679037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row장애인기업
ValueCountFrequency (%)
장애인기업 1
100.0%
2023-12-13T04:32:45.007244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 1
20.0%
애 1
20.0%
인 1
20.0%
기 1
20.0%
업 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 1
20.0%
애 1
20.0%
인 1
20.0%
기 1
20.0%
업 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 1
20.0%
애 1
20.0%
인 1
20.0%
기 1
20.0%
업 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 1
20.0%
애 1
20.0%
인 1
20.0%
기 1
20.0%
업 1
20.0%

Unnamed: 64
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2023-12-13T04:32:45.200952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기술개발제품
ValueCountFrequency (%)
기술개발제품 1
100.0%
2023-12-13T04:32:45.557170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
16.7%
술 1
16.7%
개 1
16.7%
발 1
16.7%
제 1
16.7%
품 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
16.7%
술 1
16.7%
개 1
16.7%
발 1
16.7%
제 1
16.7%
품 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
16.7%
술 1
16.7%
개 1
16.7%
발 1
16.7%
제 1
16.7%
품 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
16.7%
술 1
16.7%
개 1
16.7%
발 1
16.7%
제 1
16.7%
품 1
16.7%

하자담보
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2023-12-13T04:32:45.692589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row유/무
ValueCountFrequency (%)
유/무 1
100.0%
2023-12-13T04:32:46.013726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 1
33.3%
/ 1
33.3%
무 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
66.7%
Other Punctuation 1
33.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 1
50.0%
무 1
50.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
66.7%
Common 1
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 1
50.0%
무 1
50.0%
Common
ValueCountFrequency (%)
/ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
66.7%
ASCII 1
33.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 1
50.0%
무 1
50.0%
ASCII
ValueCountFrequency (%)
/ 1
100.0%

Unnamed: 66
Categorical

Distinct3
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
X
32 
O
21 
보증기관
 
1

Length

Max length4
Median length1
Mean length1.0555556
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row보증기관
2nd rowX
3rd rowX
4th rowO
5th rowX

Common Values

ValueCountFrequency (%)
X 32
59.3%
O 21
38.9%
보증기관 1
 
1.9%

Length

2023-12-13T04:32:46.194950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:32:46.323026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
x 32
59.3%
o 21
38.9%
보증기관 1
 
1.9%

Unnamed: 67
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2023-12-13T04:32:46.433543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row증권번호
ValueCountFrequency (%)
증권번호 1
100.0%
2023-12-13T04:32:46.730898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
증 1
25.0%
권 1
25.0%
번 1
25.0%
호 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
증 1
25.0%
권 1
25.0%
번 1
25.0%
호 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
증 1
25.0%
권 1
25.0%
번 1
25.0%
호 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
증 1
25.0%
권 1
25.0%
번 1
25.0%
호 1
25.0%

Unnamed: 68
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2023-12-13T04:32:46.881814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row담보기간
ValueCountFrequency (%)
담보기간 1
100.0%
2023-12-13T04:32:47.167737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
담 1
25.0%
보 1
25.0%
기 1
25.0%
간 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
담 1
25.0%
보 1
25.0%
기 1
25.0%
간 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
담 1
25.0%
보 1
25.0%
기 1
25.0%
간 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
담 1
25.0%
보 1
25.0%
기 1
25.0%
간 1
25.0%

Unnamed: 69
Categorical

Distinct5
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
32 
2년
8 
1년
8 
3년
5 
년
 
1

Length

Max length4
Median length4
Mean length3.1666667
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row년
2nd row<NA>
3rd row<NA>
4th row3년
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 32
59.3%
2년 8
 
14.8%
1년 8
 
14.8%
3년 5
 
9.3%
년 1
 
1.9%

Length

2023-12-13T04:32:47.382738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:32:47.532977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
59.3%
2년 8
 
14.8%
1년 8
 
14.8%
3년 5
 
9.3%
년 1
 
1.9%

Unnamed: 70
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2023-12-13T04:32:47.628331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row월
ValueCountFrequency (%)
월 1
100.0%
2023-12-13T04:32:47.889880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
월 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
월 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 71
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2023-12-13T04:32:48.001970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row일
ValueCountFrequency (%)
일 1
100.0%
2023-12-13T04:32:48.275341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 1
100.0%

Unnamed: 72
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2023-12-13T04:32:48.375592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row년
ValueCountFrequency (%)
년 1
100.0%
2023-12-13T04:32:48.647277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
년 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
년 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
년 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
년 1
100.0%

Unnamed: 73
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2023-12-13T04:32:48.753795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row월
ValueCountFrequency (%)
월 1
100.0%
2023-12-13T04:32:49.026860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
월 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
월 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
월 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
월 1
100.0%

Unnamed: 74
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2023-12-13T04:32:49.148066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row일
ValueCountFrequency (%)
일 1
100.0%
2023-12-13T04:32:49.443573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 1
100.0%

Unnamed: 75
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2023-12-13T04:32:49.630579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row담보비율
ValueCountFrequency (%)
담보비율 1
100.0%
2023-12-13T04:32:49.956366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
담 1
25.0%
보 1
25.0%
비 1
25.0%
율 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
담 1
25.0%
보 1
25.0%
비 1
25.0%
율 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
담 1
25.0%
보 1
25.0%
비 1
25.0%
율 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
담 1
25.0%
보 1
25.0%
비 1
25.0%
율 1
25.0%

Unnamed: 76
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2023-12-13T04:32:50.131727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row담보금액
ValueCountFrequency (%)
담보금액 1
100.0%
2023-12-13T04:32:50.865136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
담 1
25.0%
보 1
25.0%
금 1
25.0%
액 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
담 1
25.0%
보 1
25.0%
금 1
25.0%
액 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
담 1
25.0%
보 1
25.0%
금 1
25.0%
액 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
담 1
25.0%
보 1
25.0%
금 1
25.0%
액 1
25.0%

Unnamed: 77
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

Unnamed: 78
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

Unnamed: 79
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

Unnamed: 80
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

Unnamed: 81
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

Unnamed: 82
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing39
Missing (%)72.2%
Memory size564.0 B
2023-12-13T04:32:51.145616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length18.4
Min length14

Characters and Unicode

Total characters276
Distinct characters37
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)100.0%

Sample

1st rowyoul2019@naver.com
2nd rowjobongyun00@hanmail.net
3rd rowk20q@naver.com
4th rowkjmipumps@naver.com
5th rowekw1222@nate.com
ValueCountFrequency (%)
youl2019@naver.com 1
 
6.7%
jobongyun00@hanmail.net 1
 
6.7%
k20q@naver.com 1
 
6.7%
kjmipumps@naver.com 1
 
6.7%
ekw1222@nate.com 1
 
6.7%
khkim@spkinc.co.kr 1
 
6.7%
line32374@naver.com 1
 
6.7%
gso539@hanmail.net 1
 
6.7%
cu4350@naver.com 1
 
6.7%
haw6736@hanmail.net 1
 
6.7%
Other values (5) 5
33.3%
2023-12-13T04:32:51.623181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 26
 
9.4%
o 19
 
6.9%
a 17
 
6.2%
m 17
 
6.2%
e 16
 
5.8%
. 16
 
5.8%
@ 15
 
5.4%
c 12
 
4.3%
i 10
 
3.6%
h 10
 
3.6%
Other values (27) 118
42.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 203
73.6%
Decimal Number 40
 
14.5%
Other Punctuation 31
 
11.2%
Uppercase Letter 2
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 26
12.8%
o 19
 
9.4%
a 17
 
8.4%
m 17
 
8.4%
e 16
 
7.9%
c 12
 
5.9%
i 10
 
4.9%
h 10
 
4.9%
k 10
 
4.9%
r 10
 
4.9%
Other values (13) 56
27.6%
Decimal Number
ValueCountFrequency (%)
2 8
20.0%
0 8
20.0%
3 5
12.5%
1 4
10.0%
4 4
10.0%
9 3
 
7.5%
8 2
 
5.0%
7 2
 
5.0%
5 2
 
5.0%
6 2
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 16
51.6%
@ 15
48.4%
Uppercase Letter
ValueCountFrequency (%)
U 1
50.0%
C 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 205
74.3%
Common 71
 
25.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 26
12.7%
o 19
 
9.3%
a 17
 
8.3%
m 17
 
8.3%
e 16
 
7.8%
c 12
 
5.9%
i 10
 
4.9%
h 10
 
4.9%
k 10
 
4.9%
r 10
 
4.9%
Other values (15) 58
28.3%
Common
ValueCountFrequency (%)
. 16
22.5%
@ 15
21.1%
2 8
11.3%
0 8
11.3%
3 5
 
7.0%
1 4
 
5.6%
4 4
 
5.6%
9 3
 
4.2%
8 2
 
2.8%
7 2
 
2.8%
Other values (2) 4
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 26
 
9.4%
o 19
 
6.9%
a 17
 
6.2%
m 17
 
6.2%
e 16
 
5.8%
. 16
 
5.8%
@ 15
 
5.4%
c 12
 
4.3%
i 10
 
3.6%
h 10
 
3.6%
Other values (27) 118
42.8%

Sample

순번나라장터공고번호Unnamed: 2공고번호계약체결문서번호구분Unnamed: 6계약명계약방법Unnamed: 9Unnamed: 10신규여부기초금액예정가격공동도급계약금액Unnamed: 15계약금액단가계약의경우변경계약금액낙찰률나라장터계약번호계약보증Unnamed: 22계약보증 착수일Unnamed: 24Unnamed: 25계약보증 종료일Unnamed: 27Unnamed: 28Unnamed: 29계약(변경)일자Unnamed: 31Unnamed: 32착수일자Unnamed: 34Unnamed: 35준공기한Unnamed: 37Unnamed: 38준공일Unnamed: 40Unnamed: 41준공금액대표사 업체기본정보Unnamed: 44Unnamed: 45Unnamed: 46Unnamed: 47Unnamed: 48업체제품정보Unnamed: 50Unnamed: 51Unnamed: 52Unnamed: 53구성원 업체기본정보Unnamed: 55Unnamed: 56Unnamed: 57Unnamed: 58Unnamed: 59Unnamed: 60업체제품정보.1Unnamed: 62Unnamed: 63Unnamed: 64하자담보Unnamed: 66Unnamed: 67Unnamed: 68Unnamed: 69Unnamed: 70Unnamed: 71Unnamed: 72Unnamed: 73Unnamed: 74Unnamed: 75Unnamed: 76Unnamed: 77Unnamed: 78Unnamed: 79Unnamed: 80Unnamed: 81Unnamed: 82
0순번최초공고재공고공고번호계약체결문서번호구분1구분2계약명입찰여부계약사유총액여부<NA>기초금액예정가격대표자구성원1계약금액총구매예정금액<NA><NA>(납품요구번호)보증기관증권번호년월일년월일보증액년월일년월일년월일년월일준공금액업체명대표자사업자등록번호시·도시·군·구나머지주소중소기업여성기업장애인기업녹색제품기술개발제품업체명대표자사업자등록번호시·도시·군·구나머지주소전화번호중소기업여성기업장애인기업기술개발제품유/무보증기관증권번호담보기간년월일년월일담보비율담보금액<NA><NA><NA><NA><NA><NA>
11<NA><NA><NA>재무관리팀-2018-3675용역일반기록물정리 및 분류체계 구축용역수의소액수의계약(2천만원 미만의 계약체결)총액신규2183500021835000문서지기㈜<NA>21835000<NA><NA><NA>20181215E0B-00특수법인 소프트웨어공제조합00500215001900000035 00201912201921532752502019122019122019215NaNNaNNaNNaN문서지기㈜김경희126-86-22275경기이천마장면 덕평로 920-0OO<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>X<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
22<NA><NA><NA>재무관리팀-2018-3654용역일반강원도개발공사 환경미화 용역수의지방계약법 시행령 제25조 제1항 마총액신규2599200025992000㈜늘푸른환경<NA>25992000<NA><NA><NA>20181214097-00서울보증보험㈜004002100000201900002096 0020191220191231389880020191220191220191231NaNNaNNaNNaN㈜늘푸른환경이형민221-81-40006강원춘천시후석로 462번길 15-0O<NA><NA><NA>O<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>X<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33<NA><NA><NA>재무관리팀-2019-71물품일반정선군 행복주택 건립사업 관급자재(소방펌프) 조달구매수의소액수의계약(2천만원 미만의 계약체결)총액신규1989900019899000㈜대영파워펌프<NA>19899000<NA><NA><NA>2019010343F-00서울보증보험㈜004002100000201900202438 002019114201969298485020191162019116201969NaNNaNNaNNaN㈜대영파워펌프송경희136-81-15816경기화성시마도면 마도로 421-13OO<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>O<NA><NA>3년<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
44<NA><NA><NA>재무관리팀-2019-141용역일반영월군 공공실버주택 건립사업 무동력승강식피닌기 설계용역수의소액수의계약(2천만원 미만의 계약체결)총액신규2000000020000000㈜바탕건축사사무소<NA>20000000<NA><NA><NA>2019010751E-00엔지니어링공제조합00700220190100021009940000 00201912120192193000000201911720191172019219NaNNaNNaNNaN㈜바탕건축사사무소윤동진215-87-87916서울송파구법원로 114, B동 1108호O<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>X<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
55<NA><NA><NA>재무관리팀-2019-158용역일반삼척복합체육공원 실내체육관 녹색건축및에너지효율등급 본인중용역수의소액수의계약(2천만원 미만의 계약체결)총액신규1500000015000000한국에코엔지니어링<NA>15000000<NA><NA><NA>201901084FF-00서울보증보험㈜004002100000201900278496 00201911820202292250000201911820191182020229NaNNaNNaNNaN한국에코엔지니어링김혜숙123-11-84968경기오산시수목원로615, 112동 21층O<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>X<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
66<NA><NA><NA>재무관리팀-2019-215용역일반홍천군 남면 양덕원 행복주택(산단형) 건립사업 군관리계획 결정(변경)용역수의지방계약법시행령 제25조 1항5-마, 5-다총액신규5200000049820160㈜이음이앤씨<NA>49390000<NA><NA><NA>20190108A41-00서울보증보험㈜004002100000201900329655 0020191222019112174085002019122201912220191121NaNNaNNaNNaN㈜이음이앤씨김윤희182-87-00467강원홍천군홍천읍 홍천로 1001-6OO<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>X<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
77<NA><NA><NA>재무관리팀-2019-182용역일반강원혁신지식산업센터 설계의경제성검토(VE)용역수의소액수의계약(2천만원 미만의 계약체결)총액신규1950000019500000㈜상아매니지먼트컨설팅<NA>19500000<NA><NA><NA>201901085BD-00서울보증보험(주0004002100000201900329667 00201912520198312825000201912220191252019831NaNNaNNaNNaN㈜상아매니지먼트컨설팅김유길116-81-31826서울강남구역삼동 828-8 뉴서울빌딩O<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>X<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
88<NA><NA><NA>재무관리팀-2019-321용역일반알펜시아 투자유치 법률자문용역수의소액수의계약(2천만원 미만의 계약체결)총액신규2200000022000000법무법인(유한)대륙아주<NA>22000000<NA><NA><NA>2019010E196-00계약보증금지급각서대체<NA>201913020194303300000201913020191302019430NaNNaNNaNNaN법무법인(유한)대륙아주이규철214-86-03459서울강남구테헤란로317O<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>X<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
99<NA><NA><NA>재무관리팀-2019-324물품일반홍천군 행복주택 건립사업 관급자재(펌프류) 물품구매수의지방계약법시행령 제25조 1항5-마총액신규2800710028007100(주)대영파워펌프<NA>28007100<NA><NA><NA>2019010EE4E-00서울보증보험㈜004002100000201900486119 00201913120191211420106520192120192120191211NaNNaNNaNNaN㈜대영파워펌프송경희136-81-15816경기화성시마도면 마도로 421-13OO<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>O<NA><NA>3년<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
순번나라장터공고번호Unnamed: 2공고번호계약체결문서번호구분Unnamed: 6계약명계약방법Unnamed: 9Unnamed: 10신규여부기초금액예정가격공동도급계약금액Unnamed: 15계약금액단가계약의경우변경계약금액낙찰률나라장터계약번호계약보증Unnamed: 22계약보증 착수일Unnamed: 24Unnamed: 25계약보증 종료일Unnamed: 27Unnamed: 28Unnamed: 29계약(변경)일자Unnamed: 31Unnamed: 32착수일자Unnamed: 34Unnamed: 35준공기한Unnamed: 37Unnamed: 38준공일Unnamed: 40Unnamed: 41준공금액대표사 업체기본정보Unnamed: 44Unnamed: 45Unnamed: 46Unnamed: 47Unnamed: 48업체제품정보Unnamed: 50Unnamed: 51Unnamed: 52Unnamed: 53구성원 업체기본정보Unnamed: 55Unnamed: 56Unnamed: 57Unnamed: 58Unnamed: 59Unnamed: 60업체제품정보.1Unnamed: 62Unnamed: 63Unnamed: 64하자담보Unnamed: 66Unnamed: 67Unnamed: 68Unnamed: 69Unnamed: 70Unnamed: 71Unnamed: 72Unnamed: 73Unnamed: 74Unnamed: 75Unnamed: 76Unnamed: 77Unnamed: 78Unnamed: 79Unnamed: 80Unnamed: 81Unnamed: 82
4444<NA><NA><NA>재무관리팀-2019-1417공사일반정선산수빌 아파트 필로티 천정수선공사수의소액수의계약(2천만원 미만의 계약체결)총액신규2058430020584300예천창호산업<NA>20584300<NA><NA><NA>2019-108계약보증금지급각서대체<NA>201951620196153087640201951620195162019615NaNNaNNaNNaN예천창호산업손종수222-08-81308강원태백시황지동 70 14/3O<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>O<NA><NA>1년<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4545<NA><NA><NA>재무관리팀-2019-1416용역일반영월군 새뜰마을 공공임대주택 정보통신 감리용역수의소액수의계약(2천만원 미만의 계약체결)총액신규1911100019111000㈜한성기술단<NA>19111000<NA><NA><NA>20190507D47-00한국전기기술인협회15 20191011256442000 9003-00201951420208312866650201951420195162020831NaNNaNNaNNaN㈜한성기술단오상구221-81-25607강원원주시능라동길74, 703O<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>X<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>gso539@hanmail.net
4646<NA><NA><NA>재무관리팀-2019-1460물품일반영월군 새뜰마을 공공임대주택 관급자재(수배전반) 물품구매수의지방계약법 시행령 제25조 제1항 7-2-나총액신규136367890136640750채움사업단<NA>120003700<NA><NA>0.8820190509FA0-00서울보증보험㈜004002100000201902198036 002019517202081518000560201951820205182020815NaNNaNNaNNaN채움사업단이영민808-82-00211강원원주시소초면 치악로 2985,AO<NA>O<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>O<NA><NA>2년<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>CU4350@naver.com
4747<NA><NA><NA>재무관리팀-2019-1462물품일반영월군 새뜰마을 공공임대주택 관급자재(분전반) 물품구매수의지방계약법 시행령 제25조 제1항 7-2-나총액신규138586680139834000홍애원<NA>123332000<NA><NA>0.8892019050BE37-00서울보증보험㈜004002100000201902222848 002019520202081518499800201952020195202020815NaNNaNNaNNaN홍애원고정진128-82-13643경기고양시덕양구 보광로 106번길 93-0O<NA>O<NA>O<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>O<NA><NA>2년<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>haw6736@hanmail.net
4848<NA><NA><NA>재무관리팀-2019-1501공사일반강원도세계잼버리수련원 개보수사업 본관방수 및 도장공사수의소액수의계약(2천만원 미만의 계약체결)총액신규1295000012950000우진인테리어<NA>12950000<NA><NA><NA>2019-115계약보증금지급각서대체<NA>201952320196221942500201952220195232019622NaNNaNNaNNaN우진인테리어이상남428-17-00360강원속초시청호로 6길 6-1O<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>O<NA><NA>1년<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4949<NA><NA><NA>재무관리팀-2019-1586공사일반알펜시아 올림픽 전통누정정자 경관조명 설치공사수의지방계약법시행령 제30조 1항-2총액신규5190200049020000㈜이원이앤씨<NA>49020000<NA><NA>0.944420190510CF3-00전기공사공제조합00800231096000000003684567 00201952720196167353000201952720195272019616NaNNaNNaNNaN㈜이원이앤씨전언희347-87-00647강원태백시문호로 1길 16OO<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>O<NA><NA>1년<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>kjjung1029@naver.com
5050<NA><NA><NA>재무관리팀-2019-1606공사일반알펜시아올림픽 전통정자 바닥 마사토 포장공사수의소액수의계약(2천만원 미만의 계약체결)총액신규2036000020360000㈜영일조경<NA>20360000<NA><NA><NA>20190512B87-00전문건설공제조합20193200210019442019000201 00201952820196183054000201952820195302019618NaNNaNNaNNaN㈜영일조경김영일226-81-38669강원강릉시자조왈길41-0O<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>O<NA><NA>1년<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>hyy2014@naver.com
5151<NA><NA><NA>재무관리팀-2019-1553용역일반홍천군 행복주택 건립사업 입주자모집 대행용역수의소액수의계약(2천만원 미만의 계약체결)총액신규1999360019993600㈜현민종합건설<NA>19993600<NA><NA><NA>201905100BA-00서울보증보험㈜004002100000201902439524 00201953020203312999040201953020195302019331NaNNaNNaNNaN㈜현만종합건설김진기627-81-00987인천부평구길주남로 6번길7-0O<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>X<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>hyunmin0488@naver.com
5252<NA><NA><NA>재무관리팀-2019-1538용역일반2019년 중장기재무관리계획 수립용역수의소액수의계약(2천만원 미만의 계약체결)총액신규1320000013200000경신회계법인<NA>13200000<NA><NA><NA>2019051372C-00계약보증금지급각서대체<NA>2019612019930198000020195302019612019930NaNNaNNaNNaN경신회계법인안경준503-86-03892대구광역시달서구두류동 495-45O<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>X<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>kjahn@kyungshin.pro
5353<NA><NA><NA>재무관리팀-2019-1631용역일반알펜시아 인수및 공동투자 계약서 재무자문용역수의소액수의계약(2천만원 미만의 계약체결)총액신규1650000016500000안진회계법인<NA>16500000<NA><NA><NA>2019051443C-00계약보증금지급각서대체<NA>201953120196122475000201953120195312019612NaNNaNNaNNaN안진회계법인홍종성116-81-22521서울영등포구국제금융로 10<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>X<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>johong@deloitte.com